somritabanerjee Goto Github PK

a-brief-guide-to-astrobee

A Brief Guide to Astrobee's Flight Software

aa203-examples

Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.

aa203-homework

aa222project1_2019.jl

aa222project2_2019.jl

aa228policeofficersondemand

Police officers on demand! Given a year's worth of data on the times and locations that crime occur in San Francisco, how should we optimally move police officers across the city over a 24 hour period? We want to minimize cost of moving police officers and minimize the number of unattended crimes without enough police officers in the area.

aa228project1

aa228project2

aa274_lecture_notes

Compiled lecture notes for AA274

alexnet-a-practical-implementation

Implementation of AlexNet with Tensorflow

alpaca

Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone

bimdps.jl

Bi-level MDPs for Mission Planning

cme216-spring-2020

Stanford CME 216 2020, Machine Learning in Computational Engineering

gazebo_ros_pkgs

Wrappers, tools and additional API's for using ROS with Gazebo. Formally simulator_gazebo stack

gusto.jl

This is my working version of StanfordASL/GuSTO.jl

gusto.jl-1

Code to accompany: Sequential Convex Programming: Generalized Method and Theoretical Convergence Guarantees for Trajectory Optimization

moca

osqp

The Operator Splitting QP Solver

racecar_simulator

speedplusbaseline

PyTorch implementations of CNNs and domain-bridging algorithms used in baseline studies of SPEED+ dataset